Negative momentum for improved game dynamics G Gidel, RA Hemmat, M Pezeshki, R Le Priol, G Huang, S Lacoste-Julien, ... AISTATS 2019 - Proceedings of the 22nd International Conference on …, 2019 | 197 | 2019 |
Scattering networks for hybrid representation learning E Oyallon, S Zagoruyko, G Huang, N Komodakis, S Lacoste-Julien, ... IEEE transactions on pattern analysis and machine intelligence 41 (9), 2208-2221, 2018 | 96 | 2018 |
A survey of self-supervised and few-shot object detection G Huang, I Laradji, D Vazquez, S Lacoste-Julien, P Rodriguez IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4071-4089, 2022 | 86 | 2022 |
Multimodal pretraining for dense video captioning G Huang, B Pang, Z Zhu, C Rivera, R Soricut AACL-IJCNLP 2020 - Proceedings of the 1st Conference of the Asia-Pacific …, 2020 | 75 | 2020 |
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Test-Time Labels G Huang, H Larochelle, S Lacoste-Julien ICLR 2019 Workshop, 2019 | 37* | 2019 |
Geo-bench: Toward foundation models for earth monitoring A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ... Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
Parametric adversarial divergences are good losses for generative modeling G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien arXiv preprint arXiv:1708.02511, 2017 | 14 | 2017 |
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning N Kwon, H Na, G Huang, S Lacoste-Julien ICLR 2021 - Proceedings of the 9th International Conference on Learning …, 2021 | 12 | 2021 |
Leveraging human preferences to master poetry R Pardinas, G Huang, D Vazquez, A Piché The AAAI-23 Workshop on Creative AI Across Modalities, 2023 | 6 | 2023 |
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien ICLR 2018 Workshop, 2018 | 6* | 2018 |
Adversarial divergences are good task losses for generative modeling G Huang, G Gidel, H Berard, A Touati, S Lacoste-Julien arXiv preprint arXiv:1708.02511, 2017 | 2 | 2017 |
Towards meaningful and data-efficient learning: exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning G Huang | | 2022 |